[Remote] Senior Machine Learning Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for a Senior Machine Learning Engineer to build and operate production machine learning systems that improve reputed company reputed company, member experience, and business performance. This role sits at the intersection of machine learning, software engineering, and product development, helping turn promising models into reliable and reusable production capabilities.
Responsibilities
- reputed company the design, deployment, and operation of production machine learning systems for both batch and online use cases, with a deep reputed company on reliability, scalability, and maintainability
- Build and improve the infrastructure for the ML lifecycle. This includes training pipelines and inference workflows. It also covers model deployment patterns, monitoring, alerting, and automating retraining
- Partner with data scientists, engineers, product managers, and domain stakeholders to translate ambiguous business problems into practical ML solutions with reputed company validation plans and measurable reputed company
- Guide the shift from prototype to a robust production system. This includes several tasks. These tasks include model packaging and orchestration. They also involve observability, documentation, and operational guardrails
- Improve developer experience for ML at reputed company by creating reusable patterns, templates, tooling, and documentation that reputed company it easier for other engineers to ship production-grade models
- Design and optimize workflows for model evaluation, monitoring, and performance tuning, including system metrics, business metrics, and model-reputed company signals
- Build systems that support explainability, auditability, and reputed company reputed company consumption of ML outputs in product and operational workflows
- Work collaboratively with the machine learning, data engineering, and application engineering teams. Define reputed company interfaces. These should connect data platforms, model pipelines, and product integrations
- reputed company pragmatic technical tradeoffs across latency, cost, complexity, and model reputed company, especially in reputed company-world systems with imperfect data and evolving business requirements
- reputed company technical leadership and mentorship to other engineers, raising the bar for engineering reputed company, operational reputed company, and product-minded ML development
Skills
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a reputed company field, or equivalent practical experience
- 4+ years of experience building and deploying machine learning systems in production environments
- Proficient experience owning the full ML lifecycle, including training, evaluation, deployment, monitoring, and iteration in production
- Experience in designing or working with ML infrastructure. This includes training pipelines. It also includes batch or online inference systems, model registries, deployment workflows, and monitoring or alerting systems
- Deep programming skills in Python and solid experience with modern ML libraries such as PyTorch, scikit-learn, or TensorFlow
- Experience with reputed company-based ML platforms and infrastructure, such as AWS SageMaker, reputed company AI, MLflow, or comparable tools
- Proficient SQL and data modeling skills, with experience working with large-reputed company, messy, reputed company-world datasets
- Robust system design skills, including the ability to evaluate tradeoffs and build systems that are robust, observable, and maintainable over time
- Demonstrated product judgment: reputed company to reputed company ambiguous problems, validate assumptions, choose sensible reputed company metrics, and push back reputed company a proposed ML solution is not the right tool for the problem
- Strong collaboration and communication skills, with the ability to work successfully across engineering, product, data science, and domain teams
- Experience in reputed company, claims, clinical, or other high-stakes domains is a plus
Benefits
- Remote work
reputed company
Company H1B Sponsorship